Generic Multiuser Coordinated Beamforming for Underlay Spectrum Sharing

被引:9
|
作者
Denkovski, Daniel [1 ]
Rakovic, Valentin [1 ]
Atanasovski, Vladimir [1 ]
Gavrilovska, Liljana [1 ]
Maehoenen, Petri [2 ]
机构
[1] Ss Cyril & Methodius Univ Skopje, Fac Elect Engn & Informat Technol, Skopje 1000, Macedonia
[2] Rhein Westfal TH Aachen, Inst Networked Syst, D-52062 Aachen, Germany
关键词
Multiuser MIMO; underlay sharing; generic coordinated beamforming; sum rate maximization; fairness; recursive and successive optimization; interference; broadcast; multiple access channels; COGNITIVE RADIO NETWORKS; OPTIMAL POWER ALLOCATION; SUM RATE MAXIMIZATION; INTERFERENCE CHANNEL; PERFORMANCE ANALYSIS; SYSTEMS; ANTENNA; DESIGNS;
D O I
10.1109/TCOMM.2016.2561272
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The beamforming techniques have been recently studied as possible enablers for underlay spectrum sharing. The existing beamforming techniques have several common limitations: they are usually system model specific, cannot operate with arbitrary number of transmit/receive antennas, and cannot serve arbitrary number of users. Moreover, the beamforming techniques for underlay spectrum sharing do not consider the interference originating from the incumbent primary system. This paper extends the common underlay sharing model by incorporating the interference originating from the incumbent system into generic combined beamforming design that can be applied on interference, broadcast, or multiple access channels. This paper proposes two novel multiuser beamforming algorithms for user fairness and sum rate maximization, utilizing newly derived convex optimization problems for transmit and receive beamformers calculation in a recursive optimization. Both beamforming algorithms provide efficient operation for the interference, broadcast, and multiple access channels, as well as for arbitrary number of antennas and secondary users in the system. Furthermore, this paper proposes a successive transmit/receive optimization approach that reduces the computational complexity of the proposed recursive algorithms. The results show that the proposed complexity reduction significantly improves the convergence rates and can facilitate their operation in scenarios, which require agile beamformer computation.
引用
收藏
页码:2285 / 2298
页数:14
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